rrrr AMD Ryzen 7 PRO 5850U testing with a LENOVO ThinkPad T14s Gen 2a 20XF004WUS (R1NET57W 1.27 BIOS) and AMD Radeon Vega / Mobile 1GB on Ubuntu 24.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 PRO 5850U @ 4.51GHz (8 Cores / 16 Threads), Motherboard: LENOVO ThinkPad T14s Gen 2a 20XF004WUS (R1NET57W 1.27 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 2 x 16GB LPDDR4-4266MT/s Micron MT53E2G32D4NQ-046, Disk: 1024GB SAMSUNG MZVLB1T0HBLR-000L7, Graphics: AMD Radeon Vega / Mobile 1GB, Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8211/8411 + MEDIATEK MT7921 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2407150600.d94a40~oibaf~n (git-d94a40f 2024-07-15 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen 7 PRO 5850U @ 4.51GHz (8 Cores / 16 Threads), Motherboard: LENOVO ThinkPad T14s Gen 2a 20XF004WUS (R1NET57W 1.27 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 2 x 16GB LPDDR4-4266MT/s Micron MT53E2G32D4NQ-046, Disk: 1024GB SAMSUNG MZVLB1T0HBLR-000L7, Graphics: AMD Radeon Vega / Mobile 1GB, Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8211/8411 + MEDIATEK MT7921 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2407150600.d94a40~oibaf~n (git-d94a40f 2024-07-15 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: AMD Ryzen 7 PRO 5850U @ 4.51GHz (8 Cores / 16 Threads), Motherboard: LENOVO ThinkPad T14s Gen 2a 20XF004WUS (R1NET57W 1.27 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 2 x 16GB LPDDR4-4266MT/s Micron MT53E2G32D4NQ-046, Disk: 1024GB SAMSUNG MZVLB1T0HBLR-000L7, Graphics: AMD Radeon Vega / Mobile 1GB, Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8211/8411 + MEDIATEK MT7921 802.11ax PCI OS: Ubuntu 24.04, Kernel: 6.10.0-061000rc4daily20240621-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2407150600.d94a40~oibaf~n (git-d94a40f 2024-07-15 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: OpenGL - Mostly Stable FPS Frames Per Second > Higher Is Better a . 48 |======================================================================= b . 48 |======================================================================= c . 47 |====================================================================== Opus Codec Encoding 1.5.2 WAV To Opus Encode Seconds < Lower Is Better a . 25.04 |============================================================== b . 27.25 |==================================================================== c . 25.10 |=============================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: Vulkan - Mostly Stable FPS Frames Per Second > Higher Is Better a . 214 |====================================================================== b . 215 |====================================================================== c . 214 |====================================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: OpenGL - Steady FPS Frames Per Second > Higher Is Better a . 40 |======================================================================= b . 27 |================================================ c . 28 |================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: OpenGL - Mostly Stable FPS Frames Per Second > Higher Is Better a . 36 |======================================================================= b . 36 |======================================================================= c . 36 |======================================================================= SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: Vulkan - Steady FPS Frames Per Second > Higher Is Better a . 164 |===================================================================== b . 165 |====================================================================== c . 166 |====================================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: High - Renderer: OpenGL - Steady FPS Frames Per Second > Higher Is Better a . 22 |======================================================================= b . 20 |================================================================= c . 21 |==================================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: Vulkan - Mostly Stable FPS Frames Per Second > Higher Is Better a . 218 |===================================================================== b . 219 |===================================================================== c . 221 |====================================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: Vulkan - Steady FPS Frames Per Second > Higher Is Better a . 168 |====================================================================== b . 166 |===================================================================== c . 166 |===================================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: Vulkan - Mostly Stable FPS Frames Per Second > Higher Is Better a . 221 |====================================================================== b . 220 |====================================================================== c . 218 |===================================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Medium - Renderer: Vulkan - Steady FPS Frames Per Second > Higher Is Better a . 166 |===================================================================== b . 169 |====================================================================== c . 167 |===================================================================== LiteRT 2024-10-15 Model: DeepLab V3 Microseconds < Lower Is Better a . 4393.40 |============================================================== b . 4683.20 |================================================================== c . 4360.66 |============================================================= SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: OpenGL - Steady FPS Frames Per Second > Higher Is Better a . 19 |======================================================================= b . 19 |======================================================================= c . 19 |======================================================================= LiteRT 2024-10-15 Model: SqueezeNet Microseconds < Lower Is Better a . 4178.46 |================================================================== b . 4155.12 |================================================================== c . 4135.54 |================================================================= Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better a . 253.8 |==================================================================== b . 255.2 |==================================================================== c . 254.2 |==================================================================== Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better a . 219.3 |=================================================================== b . 224.2 |==================================================================== c . 223.4 |==================================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: Vulkan - Mostly Stable FPS Frames Per Second > Higher Is Better a . 211 |==================================================================== b . 214 |===================================================================== c . 218 |====================================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: Vulkan - Steady FPS Frames Per Second > Higher Is Better a . 163 |===================================================================== b . 164 |====================================================================== c . 165 |====================================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Ultimate - Renderer: OpenGL - Mostly Stable FPS Frames Per Second > Higher Is Better a . 33 |======================================================================= b . 33 |======================================================================= c . 33 |======================================================================= LiteRT 2024-10-15 Model: Inception V4 Microseconds < Lower Is Better a . 62377.3 |============================================================== b . 66766.2 |================================================================== c . 62374.1 |============================================================== LiteRT 2024-10-15 Model: NASNet Mobile Microseconds < Lower Is Better a . 9669.64 |========================================================= b . 10973.30 |================================================================= c . 10976.50 |================================================================= Unvanquished 0.55 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better a . 186.6 |==================================================================== b . 184.3 |=================================================================== c . 186.9 |==================================================================== LiteRT 2024-10-15 Model: Mobilenet Float Microseconds < Lower Is Better a . 3246.51 |=============================================================== b . 3414.14 |================================================================== c . 3224.89 |============================================================== LiteRT 2024-10-15 Model: Mobilenet Quant Microseconds < Lower Is Better a . 3202.90 |================================================================= b . 3234.50 |================================================================== c . 3166.49 |================================================================= LiteRT 2024-10-15 Model: Inception ResNet V2 Microseconds < Lower Is Better a . 54850.7 |================================================================== b . 54226.7 |================================================================= c . 54696.6 |================================================================== LiteRT 2024-10-15 Model: Quantized COCO SSD MobileNet v1 Microseconds < Lower Is Better a . 4397.58 |================================================================= b . 4481.05 |================================================================== c . 4382.42 |================================================================= LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 30 |======================================================================= b . 30 |======================================================================= c . 29 |===================================================================== LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 21 |==================================================================== b . 22 |======================================================================= c . 21 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 13.46 |==================================================================== b . 13.36 |=================================================================== c . 13.32 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 1.750 |==================================================================== b . 1.734 |=================================================================== c . 1.726 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 2.529 |=================================================================== b . 2.548 |==================================================================== c . 2.535 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 23.27 |==================================================================== b . 23.30 |==================================================================== c . 23.26 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 6.317 |==================================================================== b . 6.300 |==================================================================== c . 6.254 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 3.223 |==================================================================== b . 3.168 |=================================================================== c . 3.150 |================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 3.467 |==================================================================== b . 3.478 |==================================================================== c . 3.473 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 35.28 |==================================================================== b . 35.25 |==================================================================== c . 35.21 |==================================================================== XNNPACK b7b048 Model: FP32MobileNetV1 us < Lower Is Better a . 4000 |===================================================================== b . 4015 |===================================================================== c . 4024 |===================================================================== XNNPACK b7b048 Model: FP32MobileNetV2 us < Lower Is Better a . 2514 |===================================================================== b . 2520 |===================================================================== c . 2513 |===================================================================== SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: OpenGL - Mostly Stable FPS Frames Per Second > Higher Is Better a . 85 |===================================================================== b . 86 |====================================================================== c . 87 |======================================================================= Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 71.19 |==================================================================== b . 71.58 |==================================================================== c . 71.13 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 31.60 |================================================================ b . 33.72 |==================================================================== c . 31.56 |================================================================ XNNPACK b7b048 Model: FP32MobileNetV3Large us < Lower Is Better a . 2485 |===================================================================== b . 2497 |===================================================================== c . 2489 |===================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Small us < Lower Is Better a . 873 |====================================================================== b . 879 |====================================================================== c . 876 |====================================================================== XNNPACK b7b048 Model: FP16MobileNetV1 us < Lower Is Better a . 4354 |===================================================================== b . 4367 |===================================================================== c . 4353 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV2 us < Lower Is Better a . 2810 |===================================================================== b . 2819 |===================================================================== c . 2809 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Large us < Lower Is Better a . 2662 |===================================================================== b . 2625 |==================================================================== c . 2597 |=================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Small us < Lower Is Better a . 1003 |===================================================================== b . 1004 |===================================================================== c . 1003 |===================================================================== XNNPACK b7b048 Model: QS8MobileNetV2 us < Lower Is Better a . 1940 |===================================================================== b . 1941 |===================================================================== c . 1936 |===================================================================== NAMD 3.0 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better a . 0.32485 |================================================================== b . 0.32571 |================================================================== c . 0.32305 |================================================================= NAMD 3.0 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better a . 0.09783 |================================================================== b . 0.09837 |================================================================== c . 0.09831 |================================================================== oneDNN 3.6 Harness: IP Shapes 1D - Engine: CPU ms < Lower Is Better a . 6.84795 |=============================================================== b . 7.17336 |================================================================== c . 6.76829 |============================================================== oneDNN 3.6 Harness: IP Shapes 3D - Engine: CPU ms < Lower Is Better a . 15.55 |==================================================================== b . 15.59 |==================================================================== c . 15.50 |==================================================================== oneDNN 3.6 Harness: Convolution Batch Shapes Auto - Engine: CPU ms < Lower Is Better a . 25.19 |==================================================================== b . 25.22 |==================================================================== c . 25.15 |==================================================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_1d - Engine: CPU ms < Lower Is Better a . 12.32 |================================================================ b . 13.16 |==================================================================== c . 12.35 |================================================================ oneDNN 3.6 Harness: Deconvolution Batch shapes_3d - Engine: CPU ms < Lower Is Better a . 9.82819 |============================================================== b . 10.31790 |================================================================= c . 9.85467 |============================================================== oneDNN 3.6 Harness: Recurrent Neural Network Training - Engine: CPU ms < Lower Is Better a . 6026.26 |================================================================= b . 6081.35 |================================================================== c . 6011.76 |================================================================= oneDNN 3.6 Harness: Recurrent Neural Network Inference - Engine: CPU ms < Lower Is Better a . 3215.97 |================================================================== b . 3219.18 |================================================================== c . 3214.48 |================================================================== Primesieve 12.5 Length: 1e12 Seconds < Lower Is Better a . 36.05 |=============================================================== b . 38.82 |==================================================================== c . 36.16 |=============================================================== Stockfish 17 Chess Benchmark Nodes Per Second > Higher Is Better a . 9792734 |========================================================= b . 11073840 |================================================================= c . 10043617 |=========================================================== SVT-AV1 2.3 Encoder Mode: Preset 3 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 1.898 |==================================================================== b . 1.902 |==================================================================== c . 1.833 |================================================================== SVT-AV1 2.3 Encoder Mode: Preset 5 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 7.299 |==================================================================== b . 7.281 |=================================================================== c . 7.346 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 25.52 |=================================================================== b . 25.67 |==================================================================== c . 25.72 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 62.18 |=================================================================== b . 63.25 |==================================================================== c . 63.20 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 3 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 6.926 |==================================================================== b . 6.950 |==================================================================== c . 6.937 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 5 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 24.61 |==================================================================== b . 24.55 |==================================================================== c . 24.53 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 84.38 |==================================================================== b . 84.04 |==================================================================== c . 84.28 |==================================================================== SVT-AV1 2.3 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 284.96 |=================================================================== b . 286.75 |=================================================================== c . 285.69 |=================================================================== Build2 0.17 Time To Compile Seconds < Lower Is Better a . 395.66 |=================================================================== b . 394.91 |=================================================================== c . 395.19 |=================================================================== Apache Cassandra 5.0 Test: Writes Op/s > Higher Is Better a . 49136 |================================================================ b . 52044 |==================================================================== c . 49549 |================================================================= SuperTuxKart 1.5 Beta 1 Resolution: 1920 x 1080 - Graphics Effects: Low - Renderer: OpenGL - Steady FPS Frames Per Second > Higher Is Better a . 44 |=============================================== b . 66 |======================================================================= c . 57 |============================================================= simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 3.39 |==================================================================== b . 3.44 |===================================================================== c . 3.43 |===================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 5.24 |=================================================================== b . 5.32 |==================================================================== c . 5.43 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 1.17 |==================================================================== b . 1.18 |===================================================================== c . 1.18 |===================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 5.05 |===================================================================== b . 4.89 |=================================================================== c . 5.00 |==================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 5.13 |================================================================== b . 5.36 |===================================================================== c . 5.39 |===================================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Pipe LPS > Higher Is Better a . 10780325.1 |============================================================== b . 10821318.1 |============================================================== c . 10990973.6 |=============================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Dhrystone 2 LPS > Higher Is Better a . 377235756.9 |============================================================= b . 379271069.5 |============================================================== c . 380536445.3 |============================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: System Call LPS > Higher Is Better a . 10866109.8 |============================================================== b . 11001447.5 |=============================================================== c . 11069234.4 |=============================================================== BYTE Unix Benchmark 5.1.3-git Computational Test: Whetstone Double MWIPS > Higher Is Better a . 87134.3 |================================================================= b . 86879.0 |================================================================= c . 88780.0 |==================================================================